Correlation of Power Rating for Battery Electric Vehicles: Simulation vs. Test Validation in Accordance with Regulatory Compliance

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Authors: Prasad Baliram Mahajan, Sidhesh Kesarkar, Shoaib Ali
Cited by: 0

Abstract

Accurate power and energy assessment in Battery Electric Vehicles (BEVs) requires high-fidelity simulation models that reflect real-world performance. This study presents a power rating correlation of the BEV model in compliance with the GTR 21[1] standard, validating the simulation’s accuracy against physical test data. Simulations were conducted using Matlab and Simulink based Simulation tool to estimate Electric Drive Module (EDM) power at the motor output and gearbox input under standardized conditions. The operating parameters were shared with the testing team to ensure consistency; however, the initial test results deviated by approximately 4% to 5% from the simulation target. To address this delta, EDM speed and vehicle speed were optimized, achieving a close alignment with the simulation and meeting the power rating targets. The results demonstrate a strong correlation between the simulation and test data, confirming the model’s accuracy and reliability. This study underscores the effectiveness of simulation-based validation in enhancing BEV power rating predictions, reducing physical testing dependencies, and accelerating vehicle development cycles while ensuring regulatory compliance.

Fields of Study & Subjects

Electric and Hybrid Vehicle Technologies Real-time simulation and control systems Electric Vehicles and Infrastructure

Publication details

Journal / source
SAE technical papers on CD-ROM/SAE technical paper series
Volume
1
Publication date
16 January 2026
Language
EN